Learning robot-environment interaction with echo state networks (ESNs) is presented in this paper. ESNs are asked to bootstrap a robot’s control policy from human teacher’s dem...
: This paper presents a new path-tracking scheme for a car-like mobile robot based on neural predictive control. A multi-layer back-propagation neural network is employed to model ...
Nearly all present-day commercial intrusion detection systems are based on a hierarchical architecture. Nodes at the bottom of the hierarchy collect information, which is passed t...
Recently, the concept of behavioral media using a mobile robot has emerged in tele-robotics, where the mobile robot behaves as a user’s second body or an agent in a remote site....
— Mobile robots have successfully solved many real world problems. In the following we present the use of mobile robots to address the novel and challenging problem of providing ...